I'm trying! People seem to be getting really good results with it but I can't quite get that myself so far. It's kind of ignoring my instructions and generating videos that look way too modern, or just wrong or unrelated. I'll keep trying because the consistency is really great.
@karpathy
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AI Challenge Excitement and Enthusiasm
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haha hey that sounds great, we want a real challenge for the AI 🙂
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Creating Visual Stories with Generative AI Tools and Claude
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I'm playing around with generative AI tools and stitching them together into visual stories. Here I took the first few sentences of Pride and Prejudice and made it into a video.
— Andrej Karpathy (@karpathy) 4 juillet 2024
The gen stack used for this one:
– @AnthropicAI Claude took the first chapter, generated the scenes… pic.twitter.com/vX64avfRUYI'm playing around with generative AI tools and stitching them together into visual stories. Here I took the first few sentences of Pride and Prejudice and made it into a video. The gen stack used for this one:
– @AnthropicAI Claude took the first chapter, generated the scenes -
State of the art image generation progress over seven years
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I feel like I have to once again pull out this figure. These 32×32 texture patches were state of the art image generation in 2017 (7 years ago). What does it look like for Gen-3 and friends to look similarly silly 7 years from now. https://t.co/MOXtfYahIW pic.twitter.com/tv4DWZjWCu
— Andrej Karpathy (@karpathy) 1 juillet 2024I feel like I have to once again pull out this figure. These 32×32 texture patches were state of the art image generation in 2017 (7 years ago). What does it look like for Gen-3 and friends to look similarly silly 7 years from now.
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In-Context Learning and Fine-Tuning: How Models Learn Continuously
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In context learning is learning. Then you bunch up things, and the next time your computer goes to sleep it finetunes on it.
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AI Model Capability to Simulate Doom Game
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It can probably very close to simulate Doom if you ask nicely.
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Pure Software 2.0: Neural Network-Only Computer Architecture
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100% Fully Software 2.0 computer. Just a single neural net and no classical software at all. Device inputs (audio video, touch etc) directly feed into a neural net, the outputs of it directly display as audio/video on speaker/screen, that’s it.
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On-Device Health Check for Phone Security and Privacy
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You’re preaching to the choir I think there could be fully secure and private ways to do this in an automated, on device way. It’s like a part of the phone has a “health check” estimating whether it is being used statistically in normal way or if it was “abducted” like this.
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Physical Devices With Sensors Hold Significant Contextual Advantages
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I just feel like a physical device with so many sensors and so much context over time has a very very high advantage should it wish to use it. Esp if it’s done in a secure element or so.
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AI-Generated Fake People for Hire Will Become Indistinguishable
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The “attack” will shortly get significantly more sophisticated and indistinguishable from human wrt what we’ve seen so far. These will look like real people but fully fake and for hire.